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Barebones NumPy ML implementations for learning
An open-source toolkit for training intelligent agents using deep reinforcement learning and imitation learning in Unity games and simulations.
Open-source simulator for autonomous vehicles and drones, built on Unreal Engine, with AI and computer vision capabilities.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
Open-source simulator for autonomous driving research.
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A deep reinforcement learning tool that instrumentizes bettercap for WiFi pwning and handshake collection.
Lab materials for an introductory course on deep learning from MIT, covering computer vision, music generation, and more.
Trax is a deep learning library that provides clear code and fast performance for building AI models.
A deep reinforcement learning-based implementation of the Flappy Bird game.
A course in reinforcement learning for developers interested in building AI-powered applications.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
This repo contains a course on Deep Reinforcement Learning from Hugging Face.
A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.
This repository contains the book 'Large Language Models' authored by a team of researchers.
A curated list of resources for reinforcement learning with human feedback (RLHF), a key technique for developing AI systems.
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
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